- They surveyed the world’s leading researchers in artificial intelligence by asking them when they think intelligent machines will better humans in a wide range of tasks.
- And many of the answers are something of a experts that Grace and co coopted were academics and industry experts who gave papers at the International Conference on Machine Learning in July 2015 and the Neural Information Processing Systems conference in December 2015.
- These are two of the most important events for experts in artificial intelligence, so it’s a good bet that many of the world’s experts were on this list.Grace and co asked them all—1,634 of them—to fill in a survey about when artificial intelligence would be better and cheaper than humans at a variety of tasks.
- Grave and co then calculated their median responsesThe experts predict that AI will outperform humans in the next 10 years in tasks such as translating languages (by 2024), writing high school essays (by 2026), and driving trucks (by 2027).
- It’s easy to think that this gives the lie to these predictions.The experts go on to predict a 50 percent chance that AI will be better than humans at more or less everything in about 45 years.That’s the kind of prediction that needs to be taken with a pinch of salt.
Trucking will be computerized long before surgery, computer scientists say.
Continue reading “Experts Predict When Artificial Intelligence Will Exceed Human Performance”
- The company, which has the eerie name of Soul Machines, has created a virtual chatbot that can not only portray human emotion, but also read human facial expressions.
- Soul Machines call this the avatar’s ’emotional intelligence’ or EI, which allows bots like Nadia to connect with people on a more subtle emotional level.
- The brain behind Nadia is Mark Sagar, professor at the University of Auckland and CEO of Soul Machines.
- Nadia, who is voiced by none other than the amazingly talented Cate Blanchett, was developed for the Australian government to improve services for people with disabilities.
- Nadia was created to fix all that and make a more human service available anytime and anywhere.
A new chatbot from Soul Machines is not only incredibly life-like but it can also read people’s emotions through tone and facial expressions.
Continue reading “Meet Nadia, the scarily ‘human’ chatbot who can read your emotions”
- Machine Learning is one of the most exciting fields in the world.
- The week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents!
- That’s why we created This Week in Machine Learning!
- Never miss a story from Udacity Inc , when you sign up for Medium.
- Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.
This week’s top Machine Learning stories, including machine learning for heart diagnoses, autonomous vehicles, and writing other AI agents! Machine Learning is one of the most exciting fields in the…
Continue reading “This Week in Machine Learning, 20 January 2017 – Udacity Inc – Medium”
- Anything reducing the need for manpower in customer support is considered a good thing.
- Above: Bots will help, not hinder, customer support in a company.
- Although a chatbot can handle basic requests, some of your customers will want to talk to real people and will require complicated support to answer some of their more difficult questions.
- Customer support is one the most resource-intensive departments in a company.
- Chatbots are revolutionizing customer support
Customer support is one the most resource-intensive departments in a company. Staff spend their day answering queries, on the telephone with customers, communicating with other departments, and much more. It is also a part of the operation that is hard to link to an ROI.
Continue reading “Chatbots are revolutionizing customer support”
- How Artificial Intelligence might affect urban life in 30 years- Harvard study
- The entry was posted in Artificial Intelligence , Connected devices , Internet of Everything , Internet of People , Internet of People Event , Internet of Things , IoT and tagged AI technologies , Applied Sciences , artificial intelligence , Barbara Grosz , developing technologies.
- “Now is the time to consider the design, ethical and policy challenges that AI technologies raise,” said Grosz.
- Every five years for the next 100 years, the AI100 project will release a report that evaluates the status of AI technologies and their potential impact on the world.
- “Artificial Intelligence and Life in 2030,” is the first product of the One Hundred Year Study on Artificial Intelligence (AI100), an ongoing project hosted by Stanford University to inform debate and provide guidance on the ethical development of smart software, sensors and machines.
How Artificial Intelligence might affect urban life in 30 years. Artificial intelligence has already transformed our lives.
Continue reading “How Artificial Intelligence might affect urban life in 30 years- Harvard study”
- Cultivating Curiosity in K-12 Classrooms: How to Promote and Sustain Deep Learning
- Members must log in to the My Account area to make their selection.
- The Editor’s Selection is the default choice for Premium and Select members who do not choose by April 24, 2016.
- Premium, Select, and Institutional Plus members who either chose this Editor’s Selection or made no selection get the print book.
- Our classrooms are not always places where such curiosity is encouraged and supported.
Read the full article, click here.
@ASCD: “Promote and sustain deep learning with curiosity.”
Founded in 1943, ASCD (formerly the Association for Supervision and Curriculum Development) is an educational leadership organization dedicated to advancing best practices and policies for the success of each learner. Our 175,000 members in 119 countries are professional educators from all levels and subject areas––superintendents, supervisors, principals, teachers, professors of education, and school board members.
ASCD Book: Cultivating Curiosity in K–12 Classrooms: How to Promote and Sustain Deep Learning